Update README.md

README.md

@@ -10,11 +10,11 @@ pinned: false
 We introduce a novel recipe for building an ultra-fast diffusion language model named [d3LLM](https://github.com/hao-ai-lab/d3llm) (pseuDo-Distilled Diffusion LLM) 🚀, a new metric [AUP (Accuracy Under Parallelism)](https://hao-ai-lab.github.io/blogs/text-diffusion/) that captures both accuracy and parallelism📊, along with a [Leaderboard](https://huggingface.co/spaces/d3LLM/dLLM_Leaderboard) 🏆 for various diffusion LLMs.
 
 ```bibtex
-@article{arxiv'26:d3llm,
-  title   = {d3LLM: Ultra-Fast Diffusion LLM using Pseudo-Trajectory Distillation},
-  author  = {Yu-Yang Qian and Junda Su and Lanxiang Hu and Peiyuan Zhang and Zhijie Deng and Peng Zhao and Hao Zhang},
-  journal = {ArXiv preprint},
-  volume  = {arXiv:2601.07568},
-  year    = {2026}
+@inproceedings{ICML'26:d3llm,
+    title = {d3LLM: Ultra-Fast Diffusion LLM using Pseudo-Trajectory Distillation},
+    author = {Yu-Yang Qian and Junda Su and Lanxiang Hu and Peiyuan Zhang and Zhijie Deng and Peng Zhao and Hao Zhang},
+    booktitle = {Proceedings of the 43rd International Conference on Machine Learning (ICML)},
+    pages = {to appear},
+    year = {2026}
 }
 ```